Literature DB >> 33619690

Ocular biometry through fully refocused steady-state magnetic resonance imaging sequence: reliability and agreement with the IOLMaster® 500.

Lorenzo Ismael Perez-Sanchez1, Julia Gutierrez-Vazquez2, Maria Satrustegui-Lapetra3, Francisco Ferreira-Manuel2, Juan Jose Arevalo-Manso4, Juan Jesus Gomez-Herrera2, Juan Jose Criado-Alvarez5,6.   

Abstract

PURPOSE: To evaluate the reliability and agreement between Fully Refocused Steady-State magnetic resonance sequences (FRSS) and the IOLMaster® 500 optical biometer for measuring anterior chamber depth (ACD) and axial length (AL).
METHODS: In a sample of 32 healthy volunteers, separate observers measured the ACD and AL of both eyes using both techniques (inter-method) and through repeated FRSS measurements (interobserver) and by the same observer (intraobserver). We employed the Bland-Altman method to determine the agreement between FRSS and partial coherence interferometry (using the IOLMaster®) and the interobserver and intraobserver variability, providing the limits of agreement (LoA, or mean difference ± 1.96 SD). Correlation coefficients and intraclass correlation coefficients were also provided.
RESULTS: For ACD measurements with FRSS in pseudo-color scale, we obtained an LoA of 0.016 ± 0.266 mm compared with partial coherence interferometry. For AL with FRSS in greyscale, the LoA was 0.019 ± 0.383 mm. Maximum interobserver variability showed a  - 0.036 ± 0.247 mm LoA for ACD with FRSS in pseudo-color scale. Maximum intraobserver variability was 0.000 ± 0.157 mm LoA for AL with FRSS in greyscale.
CONCLUSIONS: ACD and AL measurements using FRSS sequencing present high LoA and reliability when compared with partial coherence interferometry using the IOLMaster® 500. The results were better for FRSS in pseudo-color scale in ACD determination and for FRSS in greyscale in AL determination. FRSS would not be recommended for IOL power calculation due to variability of AL measurement.

Entities:  

Keywords:  Anterior chamber; Eye axial length; Interferometry; Magnetic resonance imaging

Mesh:

Year:  2021        PMID: 33619690     DOI: 10.1007/s10792-021-01748-7

Source DB:  PubMed          Journal:  Int Ophthalmol        ISSN: 0165-5701            Impact factor:   2.031


  23 in total

1.  Magnetic resonance imaging and Orbscan assessment of the anterior chamber.

Authors:  Antonio M Fea; Federica Annetta; Stefano Cirillo; Delia Campanella; Massimo De Giuseppe; Daniele Regge; Federico M Grignolo
Journal:  J Cataract Refract Surg       Date:  2005-09       Impact factor: 3.351

Review 2.  Biometry and intraocular lens power calculation.

Authors:  Alexander C Lee; Mujtaba A Qazi; Jay S Pepose
Journal:  Curr Opin Ophthalmol       Date:  2008-01       Impact factor: 3.761

Review 3.  Steady-state MR imaging sequences: physics, classification, and clinical applications.

Authors:  Govind B Chavhan; Paul S Babyn; Bhavin G Jankharia; Hai-Ling M Cheng; Manohar M Shroff
Journal:  Radiographics       Date:  2008 Jul-Aug       Impact factor: 5.333

4.  Biometric Differences between Unilateral Chronic Primary Angle Closure Glaucoma and Fellow Non-Glaucomatous Eyes.

Authors:  Wei Wang; Xinyi Li; Shida Chen; Wenbin Huang; Xiulan Zhang
Journal:  Semin Ophthalmol       Date:  2017-11-29       Impact factor: 1.975

5.  Artifacts and pitfalls in MR imaging of the orbit: a clinical review.

Authors:  R C Herrick; L A Hayman; K H Taber; P J Diaz-Marchan; M D Kuo
Journal:  Radiographics       Date:  1997 May-Jun       Impact factor: 5.333

6.  Estimation of ocular volume from axial length.

Authors:  Manbir Nagra; Bernard Gilmartin; Nicola S Logan
Journal:  Br J Ophthalmol       Date:  2014-07-01       Impact factor: 4.638

7.  Changes in Axial Length and Progression of Visual Field Damage in Glaucoma.

Authors:  Mieko Yanagisawa; Takehiro Yamashita; Masato Matsuura; Yuri Fujino; Hiroshi Murata; Ryo Asaoka
Journal:  Invest Ophthalmol Vis Sci       Date:  2018-01-01       Impact factor: 4.799

Review 8.  Clinical application of MRI in ophthalmology.

Authors:  Kelly A Townsend; Gadi Wollstein; Joel S Schuman
Journal:  NMR Biomed       Date:  2008-11       Impact factor: 4.044

9.  Prediction accuracy of intraocular lens power calculation methods after laser refractive surgery.

Authors:  Yubo Wu; Songyu Liu; Rongfeng Liao
Journal:  BMC Ophthalmol       Date:  2017-04-08       Impact factor: 2.209

10.  Comparison of optical biometry versus ultrasound biometry in cases with borderline signal-to-noise ratio.

Authors:  Tao Ming Thomas Chia; Minh T Nguyen; Hoon C Jung
Journal:  Clin Ophthalmol       Date:  2018-09-10
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